High-dimensional data - Open Access .click

Results 241 to 250 of about 4,092,880 (310)

Optimal features selection in the high dimensional data based on robust technique: Application to different health database. [PDF]

Heliyon
Hussain I +5 more
europepmc +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source

Real‐World Trends in Prenatal Antirheumatic Drug Utilization in Ontario, Canada: A Cross‐Sectional Time‐Series Analysis

Arthritis Care &Research, EarlyView.
Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source

Feature selection algorithm based on optimized genetic algorithm and the application in high-dimensional data processing. [PDF]

PLoS One
Feng G.
europepmc +1 more source

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

Arthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok +7 more
wiley +1 more source

Predicting dichotomised outcomes from high-dimensional data in biomedicine. [PDF]

J Appl Stat
Rauschenberger A, Glaab E.
europepmc +1 more source

Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data. [PDF]

BioData Min
Cantor E +4 more
europepmc +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data. [PDF]

Biometrics
Li W, Chang C, Kundu S, Long Q.
europepmc +1 more source

fos: computer and information sciences
feature selection
high dimensional data

fos: mathematics
machine learning stat.ml
statistics - machine learning

mathematics - statistics theory
medicine
statistics theory math.st